AI & Machine Learning Jobs in Gurugram

Develop AI and machine-learning models for fraud and risk detection across large-scale payment transactions. Build and validate predictive models, evaluate performance and collaborate with security, product and engineering teams. ...read more

Lead development of AI and machine-learning capabilities for fraud and risk products. Drive model design, validation and deployment for real-time transaction risk detection, and guide cross-functional data-science delivery. ...read more

Develop large-scale data pipelines and deep-learning architectures, evaluate and fine-tune ML models, build agentic workflows, and maintain production ML/MLOps pipelines. Requires 2-6 years plus Python, PyTorch/TensorFlow, sequence/time-series modeling and deployment experience. ...read more

Lead development and optimization of GenAI products focused on LLMs and advanced AI/ML technologies, setting technical direction and driving engineering excellence across teams. ...read more

Architect production autonomous AI agents for multi-step real-world tasks, owning LLM orchestration, browser automation, MCP tools, memory, workflow reliability, evaluation and deployment. ...read more

Develop production AI/ML and LLM solutions for fintech use cases such as payments, lending, fraud and risk, including RAG, agents, scalable APIs and model monitoring. ...read more

Build and productionize ML models and agentic AI/LLM solutions for client problems, including enterprise ML services, MLOps, CI/CD, cloud deployment and reusable AI components. ...read more

Build production AI/ML features and agent workflows for influencer discovery, matching, outreach, negotiation, content analysis and campaign reporting, using LLMs, multimodal models, RAG and vector databases. ...read more

Build scalable backend applications and AI-powered solutions using Java and Spring Boot; role calls for backend engineering, practical AI/agent experience, and product-focused delivery. Listing shows ₹10L–₹15L. ...read more

Develop AI-enabled applications and systems using cloud AI services and production-ready pipelines; integrate generative AI, deep learning, neural networks, chatbots and image-processing capabilities. Must-have skill listed: AI Agents & Workflow Integration. Minimum 5 years of experience. ...read more